At Google Cloud, we work with businesses in a range of industries, and we’ve seen nearly every business experience peak events when their online traffic skyrockets. For retailers, their peak events are Black Friday and Cyber Monday (or BFCM). Interested to learn how Google Cloud can support your peak performance?

Retailers generate huge quantities of data, face unpredictable environments, and need to continually adapt to the ever-evolving needs of the customer. So how to tackle this? It's the type of challenge tailor-made for Artificial Intelligence (AI). In this article we take a look at how two Cloud AI customers are helping make retail more efficient, more personal, and more trustworthy.

Google’s frontline teams needed a new staffing model to better support strategy shifts and employee development. It needed to be scalable and dynamic, so we created a job market, giving employees and managers choices.

Google has learned more about managers since the original Project Oxygen research study in 2008. As the company has grown, we found that Googlers rely on their managers to make clear decisions and facilitate collaboration across teams. So what are the 10 Oxygen behaviors of Google's best managers?

Most of us can’t get through the day without a phone, tablet, computer or smart speaker. Our sustainability team at Google understands this well—we’ve been making consumer hardware for just over three years now. But building these devices and getting them into the hands of our customers takes a lot of resources, and disposing of our old electronics can create significant waste.

The retail industry is going through a transformation. In this article we outline a number of retail solutions, created in collaboration with our ecosystem of retail partners and designed to solve specific business challenges that retailers face across all parts of the value chain.

At Google we think applying energy-efficiency and renewable energy strategies across every part of our operations is critical as we tackle the threats posed by climate change. Now we’re working to apply these same learnings and strategies to our supply chain.

Do you know where tin comes from?

Many Americans take for granted that their lights will turn on when it’s dark out, and their heat will kick in when it’s cold. But for low-income families, the winter often brings a hard choice between buying groceries or keeping the lights and heat on.

The virtual world is built on physical infrastructure. Every search that gets submitted, email sent, page served, comment posted, and video loaded passes through data centers that can be larger than a football field. So making data centers run as efficiently as possible is a very big deal.

What do you do when your data center is devoted to increasing energy efficiency, but it’s already one of the most energy efficient in the world? Start creating your own energy, of obviously.

While Google is the world’s largest corporate purchaser of renewable energy, we’re also taking action on climate change by minimizing the amount of energy we need to use in the first place. For more than a decade, we’ve worked to make our data centers as energy efficient as possible.

Carbon-free technologies like renewable energy help combat climate change, but many of them have not reached their full potential. n search of a solution to this problem, last year, DeepMind and Google started applying machine learning algorithms to 700 megawatts of wind power capacity in the central United States.

Responding to any crisis of the magnitude of Hurricane Maria is a complex endeavor, but Puerto Rico is a powerful example of how communities can respond rapidly to deploy solutions that improve and protect the livelihood of people.

More than 10,000 cities around the world have committed to taking action on climate change over the next decade. But without the right data, it can be hard to know where to start.

In 2017 alone, we purchased more than seven billion kilowatt-hours of electricity from solar and wind farms that were built specifically for Google. This enabled us to match 100% of our annual electricity consumption through direct purchases of renewable energy.

From the second machine age and the third digital revolution to the age of accelerations, experts have been creative in defining the future of work. And rightly so, because it will be quite different compared to the way we work today.

Energy challenges are data challenges. Let's accelerate innovation by making data accessible, usable and secure.

Nearly all of us have felt overworked and understaffed. Imagine what we can accomplish if we had a bit of extra help with mundane and time-consuming tasks.

Cat, coffee, couch... Cloud? This trend is big. Working from home in the Netherlands increased from 2.8 million people in 2013 to 3.3 million in 2018. What are best practices?

Sustainability has been one of Google’s core values from our earliest days. Over the years we’ve worked hard to reduce the carbon footprint of our operations, build products with people and planet in mind, and drive change at scale through our supply chains.